Intelligence and Security Informatics

Terrorism Informatics and Data Mining.- Assured Information Sharing: Technologies, Challenges and Directions.- Automating Event Extraction for the Security Domain.- Knowledge Discovery and Information Visualization for Terrorist Social Networks.- Understanding the Nexus of Terrorist Web Sites.- Multi-lingual Detection of Web Terrorist Content.- Modeling Anticipatory Event Transitions.- Exploring Gray Web Forums: Analysis and Investigation of Forum-Based Communities in Taiwan.- Intelligence and Crime Analysis.- Identifying Interesting Networks of Criminal Activity.- Name Matching in Law Enforcement Database.- Discovering Investigation Clues through Mining Criminal Databases.- Automated Filtering on Data Streaming for Intelligence Analysis.- Personal Information Management for Intelligence Tasks.- A Data Miner's Approach to Country Corruption Analysis.- Access Control, Infrastructure Protection and Privacy.- Protecting Private Information in Online Social Networks.- Protection of Database Security Via Collaborative Inference Detection.- Suspect Vehicle Identification for Border Safety.- Optimization Problems for Port-of-Entry Detection Systems.- Modeling and Validation of Aviation Security.- Surveillance and Emergency Response.- Anomaly Detection in Moving Object.- Intelligent Face Recognition.- Video Analysis of Vehicles and Persons for Surveillance.- Video-Based Deception Detection.

Hsinchun Chen is McClelland Professor of Management Information Systems (MIS) at the Eller College of the University of Arizona and Andersen Consulting Professor of the Year (1999). He is the author of 15 books and more than 200 articles covering knowledge management, digital library, homeland security, Web computing, and biomedical informatics in leading information technology publications. He serves on ten editorial boards, including: Journal of the American Society for Information Science and Technology, ACM Transactions on Information Systems, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Intelligent Transportation Systems, International Journal of Digital Library, and Decision Support Systems. He has served as a Scientific Advisor/Counselor of the National Library of Medicine (USA), Academia Sinica (Taiwan), and National Library of China (China). Dr. Chen founded The University of Arizona Artificial Intelligence Lab in 1990. The group is distinguished for its applied and high-impact AI research. Since 1990, Dr. Chen has received more than $20M in research funding from various government agencies and major corporations. He has been a PI of the NSF Digital Library Initiative Program and the NIH NLM s Biomedical Informatics Program. His group has developed advanced medical digital library and data and text mining techniques for gene pathway and disease informatics analysis and visualization since 1995. Dr. Chen s nanotechnology patent analysis works, funded by NSF, have been published in the Journal of Nanoparticle Research. His research findings were used in the President s Council of Advisors in Science and Technology s report on "The National Nanotechnology Initiative at Five Years: Assessment and Recommendations of the National Nanotechnology Advisory Panel." Dr. Chen s work also has been recognized by major US corporations and been awarded numerous industry awards for his contribution to IT education and research, including: ATT